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<li class="navelem"><a class="el" href="dir_d44c64559bbebec7f509842c48db8b23.html">include</a></li><li class="navelem"><a class="el" href="dir_3a90233651aeb6de4309a51b31e57ac6.html">omp</a></li>  </ul>
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<div class="title">omp/stream_filter.h</div>  </div>
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<a href="omp_2stream__filter_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="preprocessor">#ifndef GRPPI_OMP_STREAM_FILTER_H</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="preprocessor">#define GRPPI_OMP_STREAM_FILTER_H</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#ifdef GRPPI_OMP</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="parallel__execution__omp_8h.html">parallel_execution_omp.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacegrppi.html">grppi</a> {</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Generator, <span class="keyword">typename</span> Predicate, <span class="keyword">typename</span> Consumer&gt;</div><div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="group__filter__pattern__omp.html#ga9578d40f49ebd1e054ec5a3cfd2bc5fc">   52</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="group__filter__pattern__native.html#ga6ea538ae81f00081c0553511395adbb8">keep</a>(<a class="code" href="classgrppi_1_1parallel__execution__omp.html">parallel_execution_omp</a> &amp; ex, Generator generate_op, </div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;          Predicate predicate_op, Consumer consume_op) </div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;{</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;  <span class="keyword">using namespace </span><a class="code" href="namespacestd.html">std</a>;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;  <span class="keyword">using</span> generated_type = <span class="keyword">typename</span> result_of&lt;Generator()&gt;::type;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;  <span class="keyword">using</span> item_type = pair&lt;generated_type,long&gt;;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;  <span class="keyword">auto</span> generated_queue = ex.<a class="code" href="classgrppi_1_1parallel__execution__omp.html#a37f6a3c52b01c8086cf7406daeb11a01">make_queue</a>&lt;item_type&gt;();</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;  <span class="keyword">auto</span> filtered_queue = ex.<a class="code" href="classgrppi_1_1parallel__execution__omp.html#a37f6a3c52b01c8086cf7406daeb11a01">make_queue</a>&lt;item_type&gt;();</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;<span class="preprocessor">  #pragma omp parallel</span></div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;  {</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;<span class="preprocessor">    #pragma omp single nowait </span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    {</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;      <span class="comment">// Generate the task for the filter threads</span></div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;      <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i=0; i&lt; ex.<a class="code" href="classgrppi_1_1parallel__execution__omp.html#ac46ceef1db7f46cc7c93a2e1f4a43f08">concurrency_degree</a>() - 1; i++) {</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;<span class="preprocessor">        #pragma omp task shared(generated_queue, filtered_queue)</span></div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;        {</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;          <span class="comment">// Dequeue a pair element - order</span></div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;          <span class="keyword">auto</span> item{generated_queue.pop()};</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;          <span class="keywordflow">while</span> (item.first) {</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;            <span class="keywordflow">if</span> (predicate_op(*item.first)) {</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;              filtered_queue.push(item);</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;            }</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;            <span class="keywordflow">else</span> {</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;              filtered_queue.push(make_pair(generated_type{}, item.second));</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;            }</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;            item = generated_queue.pop();</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;          }</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;          <span class="comment">// If is the last item</span></div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;          filtered_queue.push(make_pair(item.first, -1 ));</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;        }</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;      }</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;      <span class="comment">// Generate the task for the consumer thread</span></div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;<span class="preprocessor">      #pragma omp task shared(filtered_queue)</span></div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;      {</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;        <span class="keywordtype">int</span> done_threads = 0;</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        </div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        vector&lt;item_type&gt; item_buffer;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;        <span class="keywordtype">long</span> order = 0;</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        <span class="comment">// Dequeue an element</span></div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;        <span class="keyword">auto</span> item{filtered_queue.pop()};</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;        <span class="keywordflow">while</span> (done_threads!=ex.<a class="code" href="classgrppi_1_1parallel__execution__omp.html#ac46ceef1db7f46cc7c93a2e1f4a43f08">concurrency_degree</a>()-1) {</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;          <span class="comment">// If the item is an end of stream</span></div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;          <span class="keywordflow">if</span> (!item.first &amp;&amp; item.second == -1) {</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;            done_threads++;</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;            <span class="keywordflow">if</span>(done_threads == ex.<a class="code" href="classgrppi_1_1parallel__execution__omp.html#ac46ceef1db7f46cc7c93a2e1f4a43f08">concurrency_degree</a>() - 1) <span class="keywordflow">break</span>;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;          }</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;          <span class="keywordflow">else</span> {</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;            <span class="comment">// If the element is the next to be consumed</span></div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;            <span class="keywordflow">if</span>(order == item.second) {</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;              <span class="keywordflow">if</span>(item.first) {</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;                consume_op(*item.first);</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;              } </div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;              order++;</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;            }</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;            <span class="keywordflow">else</span> {</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;              item_buffer.push_back(item);</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;            }</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;          }</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;   </div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;          <span class="comment">// Search in the buffer for the next element</span></div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;          <span class="keyword">auto</span> itrm = remove_if(begin(item_buffer), end(item_buffer),</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;            [&amp;order](<span class="keyword">auto</span> &amp; item) {</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;              <span class="keywordtype">bool</span> res = item.second == order;</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;              <span class="keywordflow">if</span> (res) order++;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;              <span class="keywordflow">return</span> res;</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;            }</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;          );</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;          for_each (itrm, end(item_buffer),</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;            [&amp;consume_op](<span class="keyword">auto</span> &amp; item) {</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;              <span class="keywordflow">if</span> (item.first) { consume_op(*item.first); }</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;            }</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;          );</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;          item_buffer.erase(itrm, end(item_buffer));</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;          item = filtered_queue.pop();</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;        }</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;        <span class="comment">// Consume the last elements </span></div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;        <span class="keywordflow">for</span> (;;) {</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;          <span class="keyword">auto</span> it_find = find_if(begin(item_buffer), end(item_buffer),</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;            [order](<span class="keyword">auto</span> &amp; item) { <span class="keywordflow">return</span> item.second == order; });</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;          <span class="keywordflow">if</span> (it_find == end(item_buffer)) <span class="keywordflow">break</span>;</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;          <span class="keywordflow">if</span> (it_find-&gt;first) {</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;            consume_op(*it_find-&gt;first);</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;          }</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;          item_buffer.erase(it_find);</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;          order++;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;        }</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;      }</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;      <span class="comment">// Main thread acts as generator</span></div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;      <span class="keywordtype">long</span> order = 0;</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;      <span class="keywordflow">for</span> (;;) {</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;        <span class="keyword">auto</span> item{generate_op()};</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        generated_queue.push(make_pair(item,order));</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;        order++;</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;        <span class="keywordflow">if</span> (!item) {</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;          <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i&lt; ex.<a class="code" href="classgrppi_1_1parallel__execution__omp.html#ac46ceef1db7f46cc7c93a2e1f4a43f08">concurrency_degree</a>()-1; i++) {</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;            generated_queue.push(make_pair(item,-1));</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;          }</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;          <span class="keywordflow">break</span>;</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;        }</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;      }</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;<span class="preprocessor">      #pragma omp taskwait</span></div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;    }</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;  }</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;}</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> Generator, <span class="keyword">typename</span> Predicate, <span class="keyword">typename</span> Consumer&gt;</div><div class="line"><a name="l00177"></a><span class="lineno"><a class="line" href="group__filter__pattern__omp.html#ga83c9adc06f9cc03131f679212033118c">  177</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="group__filter__pattern__native.html#ga718e266f1b54510045e5efc4f1f37588">discard</a>(<a class="code" href="classgrppi_1_1parallel__execution__omp.html">parallel_execution_omp</a> &amp; ex, Generator generate_op, </div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;             Predicate predicate_op, Consumer consume_op) </div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;{</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;  <a class="code" href="group__filter__pattern__native.html#ga6ea538ae81f00081c0553511395adbb8">keep</a>(ex, </div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    std::forward&lt;Generator&gt;(generate_op), </div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    [&amp;](<span class="keyword">auto</span> val) { <span class="keywordflow">return</span> !predicate_op(val); },</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    std::forward&lt;Consumer&gt;(consume_op) </div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;  );</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;}</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;}</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;<span class="preprocessor">#endif</span></div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;<span class="preprocessor">#endif</span></div><div class="ttc" id="namespacegrppi_html"><div class="ttname"><a href="namespacegrppi.html">grppi</a></div><div class="ttdef"><b>Definition:</b> callable_traits.h:24</div></div>
<div class="ttc" id="namespacestd_html"><div class="ttname"><a href="namespacestd.html">std</a></div><div class="ttdoc">STL namespace. </div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_a37f6a3c52b01c8086cf7406daeb11a01"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#a37f6a3c52b01c8086cf7406daeb11a01">grppi::parallel_execution_omp::make_queue</a></div><div class="ttdeci">mpmc_queue&lt; T &gt; make_queue() const </div><div class="ttdoc">Makes a communication queue for elements of type T. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:119</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html">grppi::parallel_execution_omp</a></div><div class="ttdoc">OpenMP parallel execution policy. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:40</div></div>
<div class="ttc" id="group__filter__pattern__native_html_ga718e266f1b54510045e5efc4f1f37588"><div class="ttname"><a href="group__filter__pattern__native.html#ga718e266f1b54510045e5efc4f1f37588">grppi::discard</a></div><div class="ttdeci">void discard(parallel_execution_native &amp;ex, Generator generate_op, Predicate predicate_op, Consumer consume_op)</div><div class="ttdoc">Invoke Filter pattern on a data sequence with sequential execution policy. This function discards fro...</div><div class="ttdef"><b>Definition:</b> native/stream_filter.h:177</div></div>
<div class="ttc" id="parallel__execution__omp_8h_html"><div class="ttname"><a href="parallel__execution__omp_8h.html">parallel_execution_omp.h</a></div></div>
<div class="ttc" id="group__filter__pattern__native_html_ga6ea538ae81f00081c0553511395adbb8"><div class="ttname"><a href="group__filter__pattern__native.html#ga6ea538ae81f00081c0553511395adbb8">grppi::keep</a></div><div class="ttdeci">void keep(parallel_execution_native &amp;ex, Generator generate_op, Predicate predicate_op, Consumer consume_op)</div><div class="ttdoc">Invoke Filter pattern pattern on a data sequence with sequential execution policy. This function keeps in the stream only those items that satisfy the predicate. </div><div class="ttdef"><b>Definition:</b> native/stream_filter.h:50</div></div>
<div class="ttc" id="classgrppi_1_1parallel__execution__omp_html_ac46ceef1db7f46cc7c93a2e1f4a43f08"><div class="ttname"><a href="classgrppi_1_1parallel__execution__omp.html#ac46ceef1db7f46cc7c93a2e1f4a43f08">grppi::parallel_execution_omp::concurrency_degree</a></div><div class="ttdeci">int concurrency_degree() const noexcept</div><div class="ttdoc">Get number of grppi trheads. </div><div class="ttdef"><b>Definition:</b> parallel_execution_omp.h:85</div></div>
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